Links:

Reading List (selected publications)

• [ 1] Eamonn Keogh, Kaushik Chakrabarti, Michael Pazzani, Sharad Mehrotra,
  Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases,
  ACM SIGMOD Record, 30(2), 151-162.
  [ download]   source: BenS
• [ 2] Kaushik Chakrabarti, Eamonn Keogh, Sharad Mehrotra, Michael Pazzani,
  Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases,
  ACM Transactions on Database Systems (TODS), 27(2) (2002): 188-228.
• [ 3] Marc Weber, Marc Alexa, Wolfgang Mueller,
  Visualizing Time-Series on Spirals
  Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01), (2001): 7-13.
• [ 4] Daniel A. Keim,
  Information Visualization and Visual Data Mining,
  IEEE Transactions on Visualization and Computer Graphics, 8(1) (2002): 1-8.
  [download]
• [ 5] Alan MacEachren1, Xiping Dai1, Frank Hardisty1, Diansheng Guo1, Gene Lengerich,
  Exploring High-D Spaces with Multiform Matrices and Small Multiples,
  IEEE Symposium on Information Visualization 2003, 31-38.
  [download] [ link in list] [search ppt in Google]
• [ 6] Shanshan Wang, Wolfgang Jank, and Galit Shmueli,
  Forecasting eBay's Online Auction Prices using Functional Data Analysis,
  University of Maryland, R.H.Smith School of Business, Working Paper 1-30.
  [download] [ link in list]
• [ 7] Catherine Plaisant,
  The Challenge of Information Visualization Evaluation,
  Proc. of Conf. on Advanced Visual Interfaces, AVI'04 (2004), p.109-116.
  HCIL-2004-19 , CS-TR-4655.
  [ link in list] [ from HCIL]
• [ 8] Catherine Plaisant,
  Information Visualization and the Challenge of Universal Usability,
  Exploring Geovisualization, (Eds, J. Dykes, A. MacEachren and M.J. Kraak), Oxford: Elsevier (2005) 53-82.
  HCIL-2004-36 , CS-TR-4717 , UMIACS-TR-2005-25.
  [ link in list] [ from HCIL]
• [ 9] Ragnar Bade, Stefan Schlectweg, Silvia Miksch,
  Connecting time-oriented data and information to a coherent interactive visualization,
  Proceedings of the SIGCHI conference on Human factors in computing systems, 105-112.
• [ 10] Eleni Tavanidou, Konstantinos Nikolopoulos, Kostas S. Metaxiotis, V. Assimakopoulos,
  eTIFIS: An innovative e-forecasting web application,
  International Journal of Software Engineering and Knowledge Engineering, 13(2) (2003): 215-236.
  [hard-to-find document]
• [ 11 Andrej Cedilnik and Penny Rheingans,
  Procedural annotation of uncertain information,
  IEEE Visualization, Proceedings of the conference on Visualization '00, (2000): 77-83.
• [ 12] Chris Olston, Jock D. Mackinlay,
  Visualizing Data with Bounded Uncertainty,
  Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02),
  37-40.
• [ 13] Alan M. MacEachren,
  Visualizing Uncertain Information,
  Cartographic Perspective, Number 13, Fall 1992, 10-19. 37-40.
  [hard-to-find document]
• [ 14] Suresh K. Lodha, Alex Pang, Robert E. Sheehan, Craig M. Wittenbrink,
  UFLOW: visualizing uncertainty in fluid flow,
  IEEE Visualization, Proceedings of the 7th conference on Visualization '96, 249-256.
  [ download]
• [ 15] Craig M. Wittenbrink, Alex T. Pang, Suresh K. Lodha,
  Glyphs for Visualizing Uncertainty in Vector Fields,
  IEEE Transactions on Visualization and Computer Graphics, 2(3) (1996): 266-279.
  [IEEE download]
• [ 16] Suzana Djurcilov, Kwansik Kim, Pierre F. J. Lermusiaux, and Alex Pang
  Volume Rendering Data with Uncertainty Information,
  In: Ebert, D., Favre, J.M., Peikert, R. (Eds.), Joint Eurographics--IEEE TCVG Symposium on Visualization, Springer-Verlag, 2001, pp. 234- 252, 355-356.
  [ download]
• [ 17] David Kao, Jennifer L. Dungan, Alex Pang,
  Visualizing 2D probability distributions from EOS satellite image-derived data sets: a case study,
  VISUALIZATION, Proceedings of the conference on Visualization '01 (2001): 457-460.
  
• [ 18] Alex Pang,
  Visualizing uncertainty in geo-spatial data,
  In: Workshop on the Intersections between Geospatial Information andInformation Technology, prepared for the National Academies committee of the Computer Science and Telecomm unications Board, 2001.
  [download]
• [ 19] Allison Woodruff and Chris Olston,
  Iconification and Omission in Information Exploration,
  SIGCHI'98 Workshop on Innovation and Evaluation in Information Exploration Interfaces, Los Angeles, CA, April 1998.
  [ html]
• [ 20] Dean F. Jerding and John T. Stasko,
  The Information Mural: A Technique for Displaying and Navigating Large Information Spaces,
  IEEE Transactions on Visualization and Computer Graphics, 4(3) (July 1998): 257-271.
• [ 21] Nahum D. Gershon,
  Visualization of fuzzy data using generalized animation
  IEEE Visualization, Proceedings of the 3rd conference on Visualization '92, (1992): 268-273.
• [ 22] Lloyd A. Treinish,
  Creating effective visualizations for operational weather forecasting
  [ download]
• [ 23] Jungpil Hahn,
  The dynamics of mass online marketplaces: a case study of an online auction,
  Proceedings of the SIGCHI conference on Human factors in computing systems, (2001): 317-324.
• [ 24] Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, John T. Riedl,
  Evaluating collaborative filtering recommender systems,
  ACM Transactions on Information Systems (TOIS), 22(1) (January 2004): 5-53.
• [ 25] James "Bo" Begole, John C. Tang, Randall B. Smith, Nicole Yankelovich,
  Work rhythms: analyzing visualizations of awareness histories of distributed groups,
  Proceedings of the 2002 ACM conference on Computer supported cooperative work, (2002): 334-343.
  [ download]
• [ 26] Kanad Chakraborty, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka,
  Forecasting the behavior of multivariate time series using neural networks,
  Neural Networks, 5(6) (Nov-Dec 1992): 961-970.
  [ download PS]

Forecasting findings with BenS:
• CBO
• http://www.cbo.gov/ftpdoc.cfm?index=6060&type=1 click top link
• http://www.cbo.gov/showdoc.cfm?index=6060&sequence=0
• http://www.cbo.gov/showdoc.cfm?index=4009&sequence=0
• Google search keywords: projections stock market
• Google search keywords: projections
• Google search keywords: valueline

Forecasting Candidates (words: forecasting, time series, software)
• Predicting (individual) software productivity Humphrey, W.S.; Singpurwalla, N.D.; Software Engineering, IEEE Transactions on , Volume: 17 , Issue: 2 , Feb. 1991 Pages:196 - 207
• Crystal Ball Professional introductory tutorial Goldman, L.L.; Simulation Conference, 2002. Proceedings of the Winter , Volume: 2 , 8-11 Dec. 2002 Pages:1539 - 1545 vol.2
• Predicting Web site access: an application of time series Antoniol, G.; Casazza, G.; Di Lucca, G.; Di Penta, M.; Merlo, E.; Web Site Evolution, 2001. Proceedings. 3rd International Workshop on , 10 Nov. 2001 Pages:57 - 61
• Software evolution from a time-series perspective Fuentetaja, E.; Bagert, D.J.; Software Maintenance, 2002. Proceedings. International Conference on , 3-6 Oct. 2002 Pages:226 - 229
• Adaptive time warp simulation of timed Petri nets Ferscha, A.; Software Engineering, IEEE Transactions on , Volume: 25 , Issue: 2 , March-April 1999 Pages:237 - 257
• Optimal signal multi-resolution by genetic algorithms to support artificial neural network models for financial forecasting Taeksoo Shin; Ingoo Han; Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on , 31 Oct.-3 Nov. 1999 Pages:586 - 593
  source: IEEE Xplore

Candidates
• Should we redesign Forecasting Competitions?
• Task-Specific Visualization Design
• Creating Effective Visualizations for Operational Weather Forecasting
• A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations ... (infovis04 best paper) http://www.cc.gatech.edu/~john.stasko/papers/infovis04.pdf
• The Movable Filter as a User Interface Tool rsFl2004.[20].10
• Clustering of streaming time series is meaningless; SIGMOD Keogh's Paper
• the Table Lens; CHI'94 rsFl2004.[5].20, 6/10
• FOCUS: The interactive table for product comparison and; UIST 96 rsFl2004.[5].25, 6/10
• Lifelines;CHI'96 rsFl2004.[5].19, 6/10
• Laying out and visualizing large trees using a hypoerbolic space; UIST'94 rsFl2004.[5].12, 6/10
• The document lens; UIST '93 rsFl2004.[5].22, 5/10
• Enhancing the Visual Clustering of; CHI'94 rsFl2004.[5].10, 8/10
• A tool for World Wide Web access log visualization rsFl2004.[6].14, 6/10
• [3] Research Report: Interacting with Huge Hierarchies: Beyond Cone Trees J. Carriere, R. Kazman. Proc. of Information Visualization '95, p. 74-81 rsFl2004.[6].6, 7/10
• Multidimensional detective [ download] rsFl2004.[03].10

Links to find tutorials, important people and resources
• Daniel A. Keim

TimeSearcher related
• Harry's Journal Paper
• On the Need for Time Series Data Mining Benchmarks
• Pattern Discovery from Stock Time Series Using Self-Organizing Maps